IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v12y2025i1d10.1057_s41599-025-05695-x.html
   My bibliography  Save this article

Unlocking the potential of supply chain digitalization for enhancing enterprise green transformation performance: evidence from China

Author

Listed:
  • Tao Wang

    (Chongqing Jiaotong University)

  • Yang Shen

    (Xiamen University)

Abstract

The supply chain is a significant source of carbon emissions for enterprises, and effectively managing this carbon footprint is a key strategy for achieving dual carbon goals and promoting sustainable development. In 2018, China launched the supply chain innovation and application pilot policy to promote supply chain digitalization (SCD), yet its actual impact on enterprise green transformation performance (EGTP) remains unclear. This study uses panel data of Chinese A-share listed companies from 2013 to 2023 as the research sample. Grounded in the practice-based view and dynamic capability theory, we employ a double machine learning method for empirical analysis. Our findings reveal that SCD significantly improves EGTP. The heterogeneity analysis further shows that this effect is more pronounced in non-state-owned enterprises, high supply chain integration, high industry competition, and non-high-polluting industries. The mechanism analysis shows that SCD promotes EGTP by enhancing an enterprise’s adaptive, absorptive, and innovative capabilities. Further analysis demonstrates that the spillover effects of SCD have a more pronounced impact on upstream suppliers’ EGTP. These insights offer theoretical and practical guidance for enterprise managers and policymakers seeking to leverage SCD in sustainable environmental practices.

Suggested Citation

  • Tao Wang & Yang Shen, 2025. "Unlocking the potential of supply chain digitalization for enhancing enterprise green transformation performance: evidence from China," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-16, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05695-x
    DOI: 10.1057/s41599-025-05695-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-025-05695-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-025-05695-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05695-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.